Fault-Diagnosis of Machine Assembly Based on Fuzzy ES

Author:

Chen Jie1,Zhang Ke Ren1,Zhu Wei Guo1

Affiliation:

1. Anhui University of Architecture and Industry

Abstract

Based on the working flow of an automated machine assembly line, a fuzzy expert system (FES) for fault diagnosis of the assembly line is developed, which contains user interface, knowledge base, inference engine and history database. The FES adopts fuzzy forward chaining rule-based reference strategy and can predict the severity ponderance of faults according to certainty factor. In addition, fuzzy logic and linguistic terms are also introduced.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference5 articles.

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2. Jota, Patricia R.S., Islam, Syed M, Wu, Tony and Ledwich, Gerard, . A class of hybrid intelligent system for fault diagnosis in electric power systems., Neurocomputing, vol. 23, no. 1-3, 1998, pp.207-224.

3. Dazhong Wang, Wen Xu and Zecun Zou, . Application of fuzzy set theory, expert system and artificial neural network in fault diagnosis of power transformer., Proceedings of the Chinese Society for Electrical Engineering, no. 5, 1996, pp.349-353.

4. Junwei Gao, Wei Li and Xiping Chen, . Application of fuzzy expert system to hydraulic generator set fault diagnosis., Journal of Gansu University of Technology, vol. 26, no. 1, 2000, pp.63-68.

5. Deying Li and Yue Zhang, . Fuzzy Inference method for Boiler Fault Diagnostic System., System Engineering -Theory and Practice, no. 6, 1998, pp.125-129.

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